Love at First Site Interaction
The Value of Making a Strong First Impression via AI in KYC Processes

As the adage goes, you only get one chance to make a first impression. In the world of retail banking, this often pertains to the onboarding portion of the client lifecycle. It’s at this stage where the customer first interacts directly with your digital suite. They’re inputting sensitive customer data, selecting the various products and services they want to enroll in and receiving a large influx of information on it all as the process unfolds.

A vital portion of onboarding – and often a bottleneck in the process – occurs at they KYC stage. It’s at this point the customer gets their first real glimpse into the tech stack fueling the bank. A slow KYC process – fueled by antiquated systems and poor utilization of customer data – has the potential to derail the entire experience. It can lead to lower customer satisfaction, increased attrition and decreased retention rates. In other words, if a customer doesn’t like the first impression your bank has to offer, they’re much more likely to walk away from the relationship.

That said, AI and Generative AI (GenAI) offer valid solutions to smoothing out the KYC bottleneck. By efficiently leveraging customer data and reducing manual data entry, AI can help expedite the KYC process and provide a much more intuitive experience for customers. The end result is massive savings for the bank through optimization, improved customer satisfaction and the potential to grow a greater share of wallet through deeper personalization.

Now You’re Cooking

In the world of retail banking, optimization is everything right now. Banks are looking for ways to manage expenses while continuing to deliver on the evolving expectations of their customers. AI offers a viable opportunity to significantly improve the KYC process in multiple ways.

For starters, automation has the potential to greatly improve data collection and verification. In turn, this allows for a quicker onboarding process. Imagine a customer, Greg, settling in to his couch after a long day at work. He’s interested in opening a new account but doesn’t have a lot of brain power leftover to dedicate to the process. Ideally, he wants to get through this as quickly as possible and move on to streaming the finale of the latest season of Top Chef.

With integrated AI systems, the bank’s website can collect Greg’s necessary documents and information, auto-fill certain parts of the requisite forms, detect any missing or incomplete details and ensure that all regulations are being met. If Greg has questions on any of the terminology displayed on screen, GenAI can create easily digestible definitions that just make sense. If at any point Greg feels stumped, a GenAI-powered digital assistant is available to intervene and answer questions. If there’s a sense Greg is growing frustrated and might abandon the process, this assistant can connect him directly to a live representative, where all of the information he’s previously provided is carried over during the handoff. In minimal time, Greg is verified, KYC is complete and he’s back to casting judgement on the chef attempting to make risotto during a quick-fire competition.

There are numerous benefits to the bank as well. First and foremost, AI can enhance due diligence processes using advanced analytics to identify discrepancies or risks, reducing human error. This can include sanction screening or PEP (Politically Exposed Persons) checks. In addition, AI systems can be used to monitor customer transactions in real time, utilizing machine learning algorithms to detect any suspicious activities and minimize the chances of fraud or money laundering, helping protect the bank's reputation and financial security.

Once onboarded, these AI systems can also be used to help drive the re-KYC process and improve personalization. Let’s turn back to our friend Greg for a moment. After a year with his new bank (and after streaming every season of Top Chef he could find), Greg is interested in applying for a mortgage to buy a house with a bigger kitchen. As it so happens, the bank’s AI systems have been monitoring his transaction history, conducting risk assessments and processing various pieces of documentation to keep his customer profile up to date.

When Greg applies for the mortgage, he’s shocked to discover just how quickly his application is approved, with minimal effort required on his part to input information. In addition, he’s impressed by the interest rates being offered – these are based on an automated review of his credit worthiness and far lower than what he expected from browsing some generic offerings elsewhere. And he especially appreciates the credit card offer he receives at the end of the process offering double cashback on grocery purchases – based on an analysis of his spending habits.

Modern Banking Family

As we move forward in the age of AI, interconnected, cloud-native system architectures are going to be more important than ever. Simply put, all of these benefits and improvements to the KYC process all have one thing in common: they rely on data. And that data can only be leveraged if there’s an integrated, accessible pipeline connected to your AI systems via APIs.

Those financial institutions that rely on legacy systems consisting of proprietary components cobbled together over the years will find they lack the flexibility and scalability to effectively leverage AI. In order to bridge this gap, there are two key areas banks need to directly address:

• Infrastructure. As we’ve stated previously, “In order to deliver on [customer] expectations, banks need to be capable of integrating a variety of emergent technologies — like AI for fraud detection, personalization and enhanced KYC processes — into existing banking operations. Not only that, but they need to be empowered to do so in a manner that allows for both agile innovation and complies with global regulations. The key to achieving this lies in composable and coreless banking.”

However, it’s no longer enough just to move operations to the cloud and call it a night. In the race toward optimization and increased control over expenses, banks should also be looking at micro-modernization of their services. Micro-modernization involves breaking down larger applications into smaller, independent services that can be deployed, scaled and leveraged across the organization. In doing so, banks are able to drive innovation and agility and better manage their offerings.

• Data. As noted, data is the lifeblood of any AI service. Banks wishing to deploy AI-powered KYC services need to have high-quality data accessible in real time. Far too often, data is either siloed or fragmented. Retail banks need to create data lakes or warehouses where these various sources can be brought together and scrubbed. At the same time, people need to be trained and processes need to be put in place to ensure consistency across the organization’s data.

No small task on its own, but all of this also needs to be brought together under an umbrella of cybersecurity and regulatory compliance. If data accessibility doesn’t comply to all privacy regulations, or if cloud resources aren’t effectively protected from those with malicious intentions, then the fines, fees and reputational damage may inflict more harm on the bank than the failure to remain competitive.

The Winning Recipe

Of course, this is an oversimplification. Every bank is unique and will require an equally unique approach to the type of system modernization necessary to enable the agile, always-on experiences today’s consumers demand. AI-enabled KYC is no exception. However, given the numerous cost optimization benefits it brings, it’s a solution worth investing in. And when combined with additional efforts like personalization and the opportunity to grow share of wallet, you’ve got yourself a winning dish.